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The identification of proper names of people, organizations, and locations from raw texts, referred to as Named Entity Recognition (NER), can be highly accurate when researchers use NER tools on a large collection of text with proper syntax. However, using existing NER tools for analyzing social media text can lead to poor identification of named entities. In particular, Twitter text frequently includes inconsistent capitalization, spelling errors, and shortened versions of words.